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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

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[Doc] Fix classification table in list of supported models (#20489)

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>

Cyrus Leung committed Jul 4, 2025 at 21:08 UTC fbd62d87509b34fe17d0f9e81608c6a9b7e2c3ff
1 file changed +1
docs/models/supported_models.md
+1
@@ -470,6 +470,7 @@ Specified using `--task classify`.
470 |----------------------------------|----------|----------------------------------------|------------------------|-----------------------------|-----------------------|
471 | `JambaForSequenceClassification` | Jamba | `ai21labs/Jamba-tiny-reward-dev`, etc. | ✅︎ | ✅︎ | |
472 | `GPT2ForSequenceClassification` | GPT2 | `nie3e/sentiment-polish-gpt2-small` | | | ✅︎ |
473 +
474 If your model is not in the above list, we will try to automatically convert the model using
475 [as_seq_cls_model][vllm.model_executor.models.adapters.as_seq_cls_model]. By default, the class probabilities are extracted from the softmaxed hidden state corresponding to the last token.
476